notebooks/completion_ai_function_bash.ipynb

{
    "cells": [
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# [OpenAi completion/ai_function_bash](../openai_commands/completion/functions/bash.py)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "import os\n",
                "\n",
                "from abcli import fullname\n",
                "from abcli import string\n",
                "from abcli.plugins import seed\n",
                "from openai_commands.completion.prompts.bash import bash_prompt\n",
                "from openai_commands.completion.functions.bash import ai_function_bash\n",
                "from openai_commands.logger import logger\n",
                "\n",
                "logger.info(f\"{fullname()}, built on {string.pretty_date()}\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "object_name = \"openai-completion-function-2d-v3\""
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "function_name = \"vancouver_watching\"\n",
                "function_short_name = \"vanwatch\"\n",
                "prompt = \"write a bash script to download the latest set of images \" \\\n",
                "    \"from traffic cameras in Downtown Vancouver \" \\\n",
                "    \" and count the number of birds in each image and report the total. \""
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "HOME=os.getenv(\"HOME\")\n",
                "%env abcli_object_name={object_name}\n",
                "%env abcli_object_path={HOME}/storage/abcli/{object_name}"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "%%bash -s $object_name\n",
                "source ~/git/awesome-bash-cli/abcli/.abcli/abcli.sh in_notebook\n",
                "\n",
                "abcli select $1\n",
                "abcli download"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "---"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "prompt_ = bash_prompt(prompt)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "func = ai_function_bash(function_name)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "assert func.generate(prompt_.create(\n",
                "    function_name=func.function_name,\n",
                "    function_short_name=function_short_name))[0]"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "logging.info(func.code)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "%%bash -s $object_name\n",
                "source ~/git/awesome-bash-cli/abcli/.abcli/abcli.sh in_notebook\n",
                "\n",
                "abcli select $1\n",
                "abcli tag set . built_by_notebook\n",
                "abcli upload"
            ]
        },
        {
            "attachments": {},
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "---"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "seed.log(\"download_object\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {},
            "outputs": [],
            "source": [
                "# END"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3 (ipykernel)",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.11.5"
        },
        "toc": {
            "base_numbering": 1,
            "nav_menu": {},
            "number_sections": true,
            "sideBar": true,
            "skip_h1_title": false,
            "title_cell": "Table of Contents",
            "title_sidebar": "Contents",
            "toc_cell": false,
            "toc_position": {},
            "toc_section_display": true,
            "toc_window_display": false
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}